Electricity consumption forecasting for sustainable smart cities using machine learning methods

Author:

Peteleaza DariusORCID,Matei AlexandruORCID,Sorostinean RaduORCID,Gellert ArpadORCID,Fiore UgoORCID,Zamfirescu Bala-Constantin,Palmieri Francesco

Funder

Hasso Plattner Foundation

Lucian Blaga University of Sibiu

Publisher

Elsevier BV

Reference32 articles.

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3. An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, part II: Handling constraints and extending to an adaptive approach;Jain;IEEE Trans. Evol. Comput.,2014

4. Financial time series forecasting with deep learning: A systematic literature review: 2005–2019;Sezer;Appl. Soft Comput.,2020

5. Rainfall prediction: A comparative analysis of modern machine learning algorithms for time-series forecasting;Barrera-Animas;Mach. Learn. Appl.,2022

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